TABLE OF CONTENT
Cover page
Title page
Certification
Approval
Dedication
Acknowledgements
Abstract
Table of Contents
List of Tables
List of Figures
CHAPTER ONE:
INTRODUCTION
1.0 Introduction
1.1 Background of study
1.2 Statement of problem
1.3 Aim
1.4 Objectives
1.5 Scope of work
1.6 Study Area
1.7 Benefits And Contribution
CHAPTER TWO: LITERATURE REVIEW
2.1 Description of Geographic information system
2.2 Population studies using Remote sensing and GIS
2.2.1 Background
2.2.2 Population density model from urban Geography
2.3 Population Estimation methods
2.3.1 Area interpolation methods
2.3.2 Point Based Methods
2.3.3 Area based method
2.3.4 Statisitcal Modelling method
2.4 Summary
CHAPTER THREE: METHODOLOGY
3.1 Flow Chart
3.2Project Planning
3.3Data Acquisition
3.4 Tools and components used
3.5Data Sources
3.6Data Processing
3.6.1 Scanning
3.6.2 Data Georefrencing
3.6.3Data Vectorization
3.6.4. Shape Files in Arc GIS
3.6.4.1Features in Shape files
3.6.5 Digitizing a map
3.6.6Data base structure for Population census
3.6.6.1Conceptual Design
3.6.6.2Entity Relationship Model
3.6.6.3Logical Design
3.6.6.4Physical Database Design
3.7 User Requirement
3.7.1 Database Design for Achara Layout
CHAPTER FOUR: RESULTS AND ANALYSIS
4.1 Results
4.1.1 Analyses
4.1.2 Estimation of population data per household through satellite image
4.1.3 Estimation of population study by Block Parcel
4.1.4 Population Density
4.2 Comparative analysis of population data from National Population Commission and that gotten from Remote sensing and GIS application
CHAPTER FIVE: CONCLUSION AND RECOMMENDATIONS
5.1 Conclusion
5.2 limitations of using remote sensing method for population studies
5.2.1 Image Classification
5.2.2 3D nature of urban areas
5.3 Recommendations
REFERENCES
APPENDICES
ABSTRACT
This project is an attempt to study population distribution in Achara Layout Enugu, in Enugu State through integration of Remote sensing and Geographic Information System (GIS). The Remote sensing data used in this study included high spatial resolution Quick Bird imagery. Questionnaires were given out for use in generating the desired product in an interactive GIS environment. Field site capturing was based on basic survey principle, technique and instruction. Field work was done to determine the type of building appearing in the satellite imagery and the no of rooms estimated, thus a standard family size gotten. After estimating the population size of Achara Layout, the result was compared to the population data gotten from National Population Commission for Achara Layout Enugu state which was divided into two as it comprised of data for Achara Layout and Idaw River Layout Enugu as directed by National Population Commission Enugu. The methodology involved carrying out a user needs assessment, collection of map from Enugu State Town Planning Department of Ministry of Land, collection of Population census data from National Population Commission, rigorous field work, data processing, comparison of results and presentation of results. The average difference between the population recorded in the 2006 then projected to 2015, and that estimated from Quick Bird images for Achara Layout Enugu, is found to be equal to 1.61%. Results from Arc GIS were presented in form of map while results from Microsoft Excel environment were presented in form of table.
CHAPTER ONE
INTRODUCTION
1.1 BACK GROUND OF STUDY
Although numerous estimates of the Nigerian population were made during the colonial period, the first attempt at a nationwide census was during 1952-53. This attempt yielded a total population figure of 31.6 million within the current boundaries of the country. This census has usually been considered an undercount for a number of reasons: apprehension that the census was related to tax collection; political tension at the time in eastern Nigeria; logistical difficulties in reaching many remote areas; and inadequate training of enumerators in some areas. The extent of undercounting has been estimated at 10 percent or less, although accuracy probably varied among the regions. Despite its difficulties, the 1952-53 census has generally been seen as less problematic than any of its successors. Subsequent attempts to conduct a reliable post-independence census have been mired in controversy, and only one was officially accepted. A good census estimate of a country population can help a country plan for present and future development and so much more. The data generated from population census are analyzed and used to calculate for various needs like gender ratio, indigenes and non-indigenes, migrants and immigrants e.t.c However, remotely sensed data offers the means to measure spatial attributes of the urban landscape. In the past, researchers remain depended on “Aerial Photographs” because of their f ine spatial resolution to get accurate data about size of houses and their volumes and consequently estimates of population (Adeniyi, 1983; Lo and Chan, 1980).In addition to that, remotely sensed data provide a wider spectral coverage (number of bands). Due to these advantages, there is a general trend towards using remotely sensed data for census studies...
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